Joseph Futoma
8 papers · 2013–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (12)
π
Cross-Pollinator
(8)
πΊοΈ
Taxonomy Completionist
(17)
π
Conference Pioneer
Conferences
ICML (3)
AISTATS (2)
MLHC (2)
NIPS (1)
Top co-authors
Research topics
Keywords
confidence interval
(2)
reinforcement learning
(1)
off-policy evaluation
(1)
bayesian nonparametrics
(1)
variational inference
(1)
multitask learning
(1)
clinical prediction
(1)
time series classification
(1)
gaussian process
(1)
optimal control
(1)
gaussian process regression
(1)
model-based reinforcement learning
(1)
batch learning
(1)
off-policy learning
(1)
poisson process
(1)
probabilistic model
(1)
latent feature model
(1)
topic model
(1)
recurrent neural network
(1)
neural ordinary differential equation
(1)
Papers
Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions
ICML 2025
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
MLHC 2021
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs
NIPS 2020
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
ICML 2020
POPCORN: Partially Observed Prediction Constrained Reinforcement Learning
AISTATS 2020
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
ICML 2017
Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data
MLHC 2016
A unifying representation for a class of dependent random measures
AISTATS 2013